Diffusion-based physical channel identification in molecular nanonetworks

Nora Garralda, Ignacio Llatser, Albert Cabellos-Aparicio, Eduard Alarcón, Massimiliano Pierobon

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

Nanonetworking is an emerging field of research at the intersection of nanotechnology and communication networks. Molecular Communication (MC) is a bio-inspired paradigm, where nanonetworks, i.e., the interconnection of nanodevices, are implemented based on the exchange of molecules. Within this paradigm, one of the most promising techniques is diffusion-based MC, which relies on free diffusion to transport the molecules from a transmitter to a receiver. In this work, we explore the main characteristics of diffusion-based MC through the use of N3Sim, a physical simulation framework for MC which allows the simulation of the physics underlying the diffusion of molecules in different scenarios. Through the results obtained with N3Sim, the Linear Time Invariant (LTI) property is proven to be a valid assumption for the normal diffusion-based MC scenario. Moreover, diffusion-based noise is observed and evaluated with reference to existing stochastic models. Furthermore, the optimal pulse shape for diffusion-based MC is found to be a narrow spike. Finally, four different pulse-based coding techniques are compared in terms of the available bandwidth, ISI and energy consumption for communication; On-Off Keying is found to be the most suitable scheme in the evaluated scenario.

Original languageEnglish (US)
Pages (from-to)196-204
Number of pages9
JournalNano Communication Networks
Volume2
Issue number4
DOIs
StatePublished - Dec 1 2011

Fingerprint

Communication
Molecules
Scenarios
Paradigm
Physical Simulation
Simulation Framework
Nanotechnology
Stochastic models
Spike
Interconnection
Communication Networks
Transmitter
Telecommunication networks
Energy Consumption
Stochastic Model
Linear Time
Transmitters
Receiver
Energy utilization
Physics

Keywords

  • Channel identification
  • Diffusion
  • Diffusion-based Molecular Communication
  • Nanonetworks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Diffusion-based physical channel identification in molecular nanonetworks. / Garralda, Nora; Llatser, Ignacio; Cabellos-Aparicio, Albert; Alarcón, Eduard; Pierobon, Massimiliano.

In: Nano Communication Networks, Vol. 2, No. 4, 01.12.2011, p. 196-204.

Research output: Contribution to journalArticle

Garralda, Nora ; Llatser, Ignacio ; Cabellos-Aparicio, Albert ; Alarcón, Eduard ; Pierobon, Massimiliano. / Diffusion-based physical channel identification in molecular nanonetworks. In: Nano Communication Networks. 2011 ; Vol. 2, No. 4. pp. 196-204.
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